2104: Leadership Questionnaires in the Age of AI: From Traditional Roots, to AI & Data Science (20803)

Session Chair(s)

• BA

  Bryan Acton

  Binghamton U.-State U. of New York, United States

Speaker(s)

• ML

  Mengying Li

  Binghamton U.-State U. of New York, United States
• EF

  Emily Forgo

  U. of Maryland, College Park, United States
• DX

  Depeng Xu

  U. of North Carlolina, Charlotte
• YE

  Yasmine Elfeki

  Virginia Tech

Discussant(s)

• TK

  Tiffany Keller Hansbrough

  Fairleigh Dickinson U., United States
• RH

  Rosalie Joan Hall

  Durham U., United Kingdom

This symposium presents a focused exploration of advancements in leadership measurement, transitioning from traditional questionnaire-based methods to the application of AI and machine learning. Recognizing the foundational value of classical psychometrics, the symposium represents its use in the development of leadership items and scales, as well as works on the use of AI for these important topics. This symposium particularly explores the multifaceted nature of leadership and addresses issues of construct redundancy and bias. The event features a series of presentations that collectively highlight a transformative approach to leadership measurement. These include an in-depth analysis of followership measurement, the application of AI for developing refined leadership scales, an exploration of the interrelations among various leadership constructs, and a discussion on identifying and mitigating biases in these new methodologies. Concluding with insights from two experts in the field of leadership measurement, the symposium aims to integrate traditional insights with modern technological advancements, setting a direction for future research that promises a more comprehensive and nuanced understanding of leadership.

Presentations:

• 11:30 – 13:00 CT (GMT-5/UTC-5)

  2104: How Do You Follow? Development of a Multidimensional Model of Kelley’s Typology of Followership (20803)
  

  Author: Paul Hanges – U. of Maryland

  Author: Emily Elizabeth Forgo – U. of Maryland, College Park
• 11:30 – 13:00 CT (GMT-5/UTC-5)

  2104: From Abstractness to Concreteness: Generating Leadership Scale Items Using Generative AI (20803)
  

  Author: Yasmine Elfeki – Virginia Tech

  Author: Roseanne Foti – Virginia Tech
• 11:30 – 13:00 CT (GMT-5/UTC-5)

  2104: AI Nomological Nets: Identifying the Overlap between Leadership Items using Word Embedding Models (20803)
  

  Author: Mengying Li – Binghamton U.-State U. of New York

  Author: Bryan Acton – Binghamton U.-State U. of New York
• 11:30 – 13:00 CT (GMT-5/UTC-5)

  2104: How to Reduce Bias in the Life Cycle of a Data Science Leadership Project (20803)
  

  Author: George Banks – UNC Charlotte

  Author: Depeng Xu – U. of North Carlolina, Charlotte

  Author: Scott Tonidandel – UNC-Charlotte

  Author: Wenwen Dou – U. of North Carolina, Charlotte

  Author: Matthew Gerson – UNC Charlotte

  Author: Jill Yavorsky – U. of North Carolina at Charlotte